Beyond the Game: Exploring the Enhanced Viewing Experience through Sports Betting

Cindy Lee, Brent D. Oja, Hyejin Bang

Abstract: With the U.S. professional sports leagues and media increasingly embracing gambling after the 2018 nullification of the Professional and Amateur Sports Protection Act by the Supreme Court, sports fans now encounter gambling content during game broadcasts. From the perspective of sports consumers’ viewing experience, augmented stakes from betting might enhance the game-viewing experience making it more engaging and relevant while excessive gambling may have detrimental effects on its participants. Given sports betting’s rising popularity, it becomes essential to delve into the role played by gambling in shaping the game-watching experiences of sports consumers, particularly those who engage in betting, through mechanisms such as sports identification, attitudes, flow experiences, and satisfaction with the game. To this end, our proposed model incorporates five key constructs: sport identification, attitude toward sport gambling, attitude toward broadcasting with gambling content, flow experience, and satisfaction with a game. Of the 400 surveys collected online, 307 respondents identified as sports betting participants, warranting their inclusion in subsequent analyses. Findings suggest that sports consumers engaged in betting report heightened satisfaction with their game-viewing experience. This study illuminates the nuanced relationship between sports viewing and gambling, offering fresh insights into the sports consumer experience.

Keywords: Sports betting, gambling, flow, satisfaction, game watching, media consumption, enjoyment

Citation: Lee, C., Oja, B. D., & Bang, H. (2023). Beyond the game: Exploring the enhanced viewing experience through sports betting. International Journal of Sport Management, 24(4), 291-314.

References

  • Ajzen, I. (1991) The Theory of planned behavior. Organizational Behavior and Human Decision Processes. 50 (2), 179-211.
  • Anand, P., Holbrook, M.B., & Stephen, D. (1988). The formation of affective judgments: The cognitive-affective model versus the independence hypothesis. Journal of Consumer Research, 15, 386-391.
  • Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Sciences, 16, 74-94. http://dx.doi.
org/10.1007/BF02723327
  • Bentler, P.M., & Chou, C.P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117.
  • Blanchard, R.F. & Galloway, R.L. (1994). Quality in Retail Banking”, International Journal of Service Industry Management, 5(4), 5-23. https://doi.org/10.1108/09564239410068670
  • Bonnaire, C., Bungener, C., & Varescon, I. (2006). Pathological gambling and sensation seeking–How do gamblers playing games of chance in cafés differ from those who bet on horses at the racetrack? Addiction Research & Theory, 14(6), 619–629.
  • Branscombe, N.R., & Wann, D.L. (1992). Physiological arousal and reactions to outgroup members during competitions that implicate an important social identity. Aggressive Behavior, 18, 85-93.
  • Bruner II, G.C., James, K.E., & Hensel, P.J. (2001). Marketing Scales Handbook: A compilation of multi-item measures. Vol. 3. American Marketing Association.
  • Bumbaca, C. (2023, May 25). Sports Betting’s rise is a cash cow. Are states doing enough to curb gambling addiction? USA today. https://www.usatoday.com/story/sports/sports-betting/2023/05/25/sports-betting-popularity-creates-gambling-addiction-concerns/70228634007/
  • Carpenter, J.M. (2008). Consumer shopping value, satisfaction and loyalty in discount retailing. Journal of Retailing and Consumer Services, 15, 358-363.
  • CBS Sports Staff. (2023, August 16). U.S. sports betting: Here’s where all 50 states currently stand on legalizing online sports gambling sites. CBS Sports. https://www.cbssports.com/general/news/u-s-sports-betting-heres-where-all-50-states-currently-stand-on-legalizing-online-sports-gambling-sites/
  • Celsi, R.L., & Olson, J.C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210-224.
  • Chang, Y., Wann, D.L., & Inoue, Y. (2018). The effects of implicit team identification on revisit and word-of-mouth intentions: A moderated mediation of emotions and flow. Journal of Sport Management, 32(4), 334-347.
  • Chen, H. (2006). Flow on the net-detecting Web users’ positive affects and their flow states. Computers in Human Behavior, 22(2), 221-233.
  • Cheung, G.W., & Lau, R.S. (2008). Testing mediation and suppression effects of latent variables: bootstrapping with structural equation models. Organizational Research Methods, 11(2), 295-325.
  • Csikszentmihalyi, M. (1975a). Beyond boredom and anxiety. Jossey-Bass.
  • Csikszentmihalyi, M. (1975b). Play and intrinsic rewards. Journal of Humanistic Psychology, 15, 41-63.
  • Csikszentmihalyi, M., Abuhamdeh, S., & Nakamura, J. (2014). Flow and the foundations of positive psychology. Springer.
  • Csikszentmihalyi, M., & Csikszentmihalyi, I. (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge Press.
  • Deci, E.L., & Ryan, R.M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum.
  • Deng, Z., Lu, Y., Wei, K.K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, 30, 289–300. https://doi.org/c3j5rv
  • Eagly, A.H., & Chaiken, S. (1993). The psychology of attitudes. New York: Harcourt Brace Jovanovich College Publishers.
  • Edell, J.A., & Burke, M.C. (1987). The power of feelings in understanding advertising effects. Journal of Consumer Research, 14(3), 421-433.
  • ESPN. (August 8, 2023). Penn Entertainment to rebrand sportsbook as ESPN BET. https://www.espn.com/espn/story//id/38158198/pennentertainment-rebrand-sportsbook-espn-bet
  • Farhat, L.C., Wampler, J., Steinberg, M.A., Krishnan-Sarin, S., Hoff, R.A., & Potenza, M.N. (2021). Excitement-seeking gambling in adolescents: Health correlates and gambling-related attitudes and behaviors. Journal of Gambling Studies, 37(1), 43-57.
  • Fishbein M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley. Fornell, C. (1992). A national Customer Satisfaction Barometer: The Swedish experience. Journal of Marketing, 56, 6–21. https://doi.org/fk4srw
  • Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Fu, W., & Yu, C.K.-C. (2015). Predicting disordered gambling with illusory control, gaming preferences, and internet gaming addiction among Chinese youth. International Journal of Mental Health and Addiction, 13, 391–401.
  • Gantz, W., & Wenner, L.A. (1995). Fanship and the television sports viewing experience. Sociology of Sport Journal, 12, 56-74.
  • Gramlich, J. (September 14, 2022). As more states legalize the practice, 19% of U.S. adults say they have bet money on sports in the past year. Pew Research Center. https://www.pewresearch.org/shortreads/2022/09/14/as-more-states-legalize-the-practice-19-of-u-s-adults-say-they-have-bet-money-on-sports-in-the-past-year/
  • Griffiths, M.D., Davies, M.N.O., & Chappell, D. (2004). Demographic factors and playing variables in online computer gaming. Cyber Psychology & Behavior, 7(4), 479-487.
  • Hair, J.F., Black, W.C., Babin, B.J., & Andersosn, R.E. (2018). Multivariate Data Analysis (8th ed). Prentice-Hall.
  • Hu, L.T., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
  • Jang, H., Kim, W., Lee, A., & Hur, T. (2012). Is it possible to flow through watching? Focusing on the observational flow and watching TV. Korean Journal of Social and Personality Psychology, 30(5), 561–587.
  • Kardes, F.R., Kalayanaram, G., Chandrashekaran, M., & Dornoff, R.J. (1993). Brand retrieval, consideration set composition, consumer choice, and the pioneering advantage. Journal of Consumer Research, 20, 62-75.
  • Kil, K., Choi, I., & Kim, G. (2014). The influence of recreation specialization of F1 spectators on leisure commitment and satisfaction. Journal of Tourism & Leisure Research, 26(2),319–336.
  • Kim, D., Kim, A., Kim, J., & Ko. Y.J. (2022). Symbiotic relationship between sport media consumption and spectatorship: The role of flow experience and hedonic need fulfillment. Journal of Global Sport Management, 7(1), 112-134.
  • Kim, D., & Ko, Y.J. (2019). The impact of virtual reality (VR) technology on sport spectators’ flow experience and satisfaction. Computers in Human Behavior, 93, 346-356.
  • Klein, R.B., (2023). Principles and practice of structural equation modeling. Guilford Publications.
  • Koufaris, M. (2002) Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13, 205-223. http://dx.doi.org/10.1287/isre.13.2.205.83
  • Kwon, W., & Lee, H. (2015). How does stadium atmosphere affect spectator behavior, flow, and revisit intentions? Implications from embodied cognition theory and environmental psychology. Korean Journal of Sport Management, 20(4), 67–80.
  • Laroche, M., Kim, C., Zhou, L. (1996). Brand familiarity and confidence as determinants of purchase intention: an empirical test in a multiple brand context. Journal of Business Research, 37, 115-120.
  • Lee, H.W., Gipson, C., & Barnhill, C. (2017). Experience of Spectator Flow and Perceived Stadium Atmosphere: Moderating Role of Team Identification. Sport Marketing Quarterly, 26(2), 87-98.
  • Lopez-Gonzalez, H., & Griffiths, M.D. (2018). Understanding the convergence of markets in online sports betting. International Review for the Sociology of Sport. 53(7). https://doi.org/10.1177/1012690216680602
  • Marsh, H.W., Hau, K., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11(3), 320-341.
  • Mathews, M., & Volberg, R. (2013). Impact of problem gambling on financial, emotional and social well-being of Singaporean families. International Gambling Studies, 13 (1), 127-140.
  • McGee, D. (2020). On the normalisation of online sports gambling among young adult men in the UK: A public health perspective. Public Health, 184, 89–94.
  • Meeprom, S., & Silanoi, T. (2020). Investigating the perceived quality of a special event and its influence on perceived value and behavioural intentions in a special event in Thailand. International Journal of Event and Festival Management, 11(3), 337-355. https://doi.org/10.1108/IJEFM-09-2019-0043
  • Moreira, D., Azeredo, A., & Dias, P. (2023). Risk factors for gambling disorder: A systematic review. Journal of Gambling Studies, 39(2), 483–511. https://doi.org/10.1007/s10899-023-10195-1 Bottom of Form Nielsen. (June, 2021). Sports betting: Who’s in and how much of an opportunity do they represent? https://www.nielsen.com/insights/2021/sports-betting-whos-in-and-how-much-of-an-opportunity-do-they-represent/
  • Novak, T.P., Hoffman, D.L., & Yung, Y. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science and the Internet, 19(1), 22-42.
  • Nunally, J.C., & Bernstein, I.H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
  • O’Cass, A & Carlson, J. (2010). Examining the effects of website-induced flow in professional sporting team websites. Internet Research, 20(2), 115-134.
  • Oliver, R L. (1997). Satisfaction: A behavioral perspective on the consumer (2nd ed.). McGraw-Hill.
  • Paek, B., Morse, A., Kim, M., & Jung, H. (2021). Sport consumer flow and shopping well-being in online shopping. International Journal of Sports Marketing and Sponsorship, 22(4), 721-736.
  • Perkins, K. & Nakamura, J. (2012). Flow and Leisure. Springer Publishing.
  • Pitts, B.G., & Slattery, J. (2004). An examination of the effects of time on sponsorship awareness levels. Sport Marketing Quarterly, 13(1), 43-54.
  • Pressman, S.D., Matthews, K.A., Cohen, S., Martire, L.M., Scheier, M., Baum, A., & Schulz, R. (2009). Association of enjoyable leisure activities with psychological and physical well-being. Psychosomatic Medicine, 71(7), 725-732. https://doi.org/10.1097/PSY.0b013e3181ad7978
  • PriceWaterhouseCoopers (2021). Sports industry outlook 2022. https://
www.pwc.com/us/en/industries/tmt/library/sports-outlook-north-america.html
  • Purdum, D., & Rovell, D. (2018, July 31). NBA signs deal with MGM to be gaming partner. ESPN. Retrieved from https://www.espn.com/chalk/story//id/24245142/nba-firstleague-betting-sponsor-deal-mgm
  • Rosen, P., & Sherman, P. (2006). Hedonic information systems: Acceptance of social networking websites. Proceedings of the Americas Conference on Information Systems, 1218–1223.
  • Seal, E., Cardak, B.A., Nicholson, M., Donaldson, A., O’Halloran, P., Randle, R., & Staley, K. (2022). The gambling behavior and attitudes to sports betting of sports fans. Journal of Gambling Studies. https://doi.org/10.1007/s10899-021-10101-7
  • Sears, D.O., Peplau, A., & Tylor, S.E. (1991). Social Psychology. Prentice-Hall.
  • Senecal, S., Gharbi, J. & Nantel. J. (2002). The influence of flow on hedonic and utilitarian shopping values. Advances in Consumer Research, 29, 483-484.
  • Sherry, J.L. (2004). Flow and media enjoyment. Communication Theory, 14(4), 328-347.
  • Skadberg, Y.X., & Kimmel, J.R. (2004). Visitors’ flow experience while browsing a web site: Its measurement, contributing factors and consequences. Computers in Human Behavior, 20 (3), 403-422.
  • Smiley, B. (2017, Nov 13). A history of sports betting in the United States: Gambling laws and outlaws. Sportshandle. https://sportshandle.com/gambling-laws-legislation-united-states-history/
  • Solomon, M., Russell-Bennett, R., & Previte, J. (2012). Consumer behaviour. Pearson Higher Education.
  • Stevens, S., & Rosenberger III, P. J. (2012) The influence of involvement, following sport and fan identification on fan loyalty: An Australian perspective. International Journal of Sports Marketing and Sponsorship, 13(3), 220-234.
  • Strauss, B. (2020, Dec 19). As legal betting booms, journalists jump from sports page to sportsbook. The Washington Post. https://www.washingtonpost.com/sports/2020/12/19/sportsme-dia-legal-gambling/
  • Tamborini, R., Grizzard, M., David Bowman, N., Reinecke, L., Lewis, R. J., & Eden, A. (2011). Media enjoyment as need satisfaction: The contribution of hedonic and nonhedonic needs. Journal of Communication, 61(6), 1025–1042. https://doi.org/10.1111/j.14602466.2011.01593.x
  • The Harris Poll (2023, November 28). Sports betting is growing, though majority of Americans believe it shouldn’t be promoted. https://theharrispoll.com/briefs/sports-betting/
  • Toder-Alon, A., Icekson, T., & Shuv-Ami, A. (2019). Team identification and sports fandom as predictors of fan aggression: The moderating role of aging. Sport Management Review, 22(2), 194-208.
  • Tomaseti, E., Ruiz, S., & Reynolds, N. (2009). Flow and attitude toward the website on the evaluation of products present by means of virtual reality: A conceptual model. In A.L. McGill & S. Shavitt (Eds.), Advances in Consumer Research (Vol. 36, pp. 916-918). Association for Consumer Research.
  • Toutkoushian, E. (2011). Predicting march madness: A statistical evaluation of the men’s NCAA basketball tournament (Doctoral dissertation. The Ohio State University).
  • Trail, G.T., Anderson, D., and Fink, J.S. (2000). A theoretical model of sport consumer behavior. International Journal of Sport Management, 1, 154-180.
  • Trail, G.T., Anderson, D F., & Fink, J S. (2005). Consumer satisfaction and identity theory: A model of sport spectator conative loyalty. Sport Marketing Quarterly, 14, 98–111.
  • Trail, G.T., Robinson, M., Dick, R., & Gillentine, A. (2003). Motives and points of attachment: Fans versus spectators in intercollegiate athletics. Sport Marketing Quarterly, 12, 217-227.
  • Trivedi, R.H., & Teichert, T. (2017). The Janus-faced role of gambling flow in addiction issues. Cyberpsychology, Behavior and Social Networking, 20(3), 1-7. https://doi.org/10.1089/cyber.2016.0453
  • Valero, C.S. (2016). Predicting win-loss outcomes in MLB regular season games–A Comparative study using data mining methods. International Journal of Computer Science in Sport, 15(2), 91–112.
  • Wakefield, L.T., & Bennett, G. (2018). Sports fan experience: electronic word-of-mouth in ephemeral social media. Sport Management Review, 21(2), 147-159.
  • Yakowicz, W. (2022, Jan 19). New Yorkers wagers $150 million during first weekend of legal mobile sports Betting. Forbes. https://www.forbes.com/sites/willyakowicz/2022/01/19/new-yorkers-wagered-150-million-during-first-weekend-of-legal-mobile-sportsbetting/?sh=233c8411388b
  • Young, A. (2023). New national survey shows 70% of Americans are sports fans. Spectrum News 1. https://spectrumlocalnews.com/nys/buffalo/news/2023/02/27/new-national-survey-shows-70–of-americans-are-sports-fans
  • Young, K. (2009). Understanding online gaming addiction and treatment issues for adolescents. The American Journal of Family Therapy, 37, 355-372.
  • Zillmann, D., & Bryant, J. (1994). Entertainment as media effect. In J. Bryant & D. Zillmann (Eds.), Media effects: Advances in theory and research (pp. 437–461). Lawrence Erlbaum Associates, Inc.

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